<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Q1 | MacsLAB</title><link>https://jbnu.macs.or.kr/en/tag/q1/</link><atom:link href="https://jbnu.macs.or.kr/en/tag/q1/index.xml" rel="self" type="application/rss+xml"/><description>Q1</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Mon, 23 Feb 2026 00:00:00 +0000</lastBuildDate><image><url>https://jbnu.macs.or.kr/media/icon_hu006eacee63deb1d8999057a3cbfdb748_78083_512x512_fill_lanczos_center_3.png</url><title>Q1</title><link>https://jbnu.macs.or.kr/en/tag/q1/</link></image><item><title>Bayesian Multiclass Segmentation for Remote Sensing: Integrating User Priors and Uncertainty</title><link>https://jbnu.macs.or.kr/en/publication/0039-bayesian-multi-class-segmentation-for-remote-sensing-integrating-user-priors-and-uncertainty/</link><pubDate>Mon, 23 Feb 2026 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0039-bayesian-multi-class-segmentation-for-remote-sensing-integrating-user-priors-and-uncertainty/</guid><description/></item><item><title>Fine-Grained Binary Object Segmentation in Remote Sensing Imagery via Path-Selective Test-Time Adaptation</title><link>https://jbnu.macs.or.kr/en/publication/0020-fine-grained-binary-object-segmentation-in-remote-sensing-imagery-via-path-selective-test-time-adaptation/</link><pubDate>Wed, 20 Mar 2024 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0020-fine-grained-binary-object-segmentation-in-remote-sensing-imagery-via-path-selective-test-time-adaptation/</guid><description/></item><item><title>Predicting Obstructive Sleep Apnea Based on Computed Tomography Scan Using Deep Learning Models</title><link>https://jbnu.macs.or.kr/en/publication/0021-predicting-obstructive-sleep-apnea-based-on-computed-tomography-scan-using-deep-learning-models/</link><pubDate>Tue, 12 Mar 2024 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0021-predicting-obstructive-sleep-apnea-based-on-computed-tomography-scan-using-deep-learning-models/</guid><description/></item><item><title>Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation</title><link>https://jbnu.macs.or.kr/en/publication/0019-bladder/</link><pubDate>Fri, 05 Jan 2024 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0019-bladder/</guid><description/></item><item><title>Deep-Learning Model Associating Lateral Cervical Radiographic Features with Cormack--lehane Grade 3 Or 4 Glottic View</title><link>https://jbnu.macs.or.kr/en/publication/0013-deep-learning-model-associating-lateral-cervical-radiographic-features-with-cormack--lehane-grade-3-or-4-glottic-view/</link><pubDate>Wed, 05 Oct 2022 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0013-deep-learning-model-associating-lateral-cervical-radiographic-features-with-cormack--lehane-grade-3-or-4-glottic-view/</guid><description/></item><item><title>Multi-task and Few-shot Learning-based Fully Automatic Deep Learning Platform for Mobile Diagnosis of Skin Diseases</title><link>https://jbnu.macs.or.kr/en/publication/0010-multi-task-and-few-shot-learning-based-fully-automatic-deep-learning-platform-for-mobile-diagnosis-of-skin-diseases/</link><pubDate>Mon, 25 Jul 2022 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0010-multi-task-and-few-shot-learning-based-fully-automatic-deep-learning-platform-for-mobile-diagnosis-of-skin-diseases/</guid><description/></item><item><title>Speckle Reduction Via Deep Content-aware Image Prior for Precise Breast Tumor Segmentation in an Ultrasound Image</title><link>https://jbnu.macs.or.kr/en/publication/0011-speckle-reduction-via-deep-content-aware-image-prior-for-precise-breast-tumor-segmentation-in-an-ultrasound-image/</link><pubDate>Mon, 25 Jul 2022 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0011-speckle-reduction-via-deep-content-aware-image-prior-for-precise-breast-tumor-segmentation-in-an-ultrasound-image/</guid><description/></item><item><title>Boundary-oriented Binary Building Segmentation Model with Two Scheme Learning for Aerial Images</title><link>https://jbnu.macs.or.kr/en/publication/0007-boundary-oriented-binary-building-segmentation-model-with-two-scheme-learning-for-aerial-images/</link><pubDate>Mon, 26 Jul 2021 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0007-boundary-oriented-binary-building-segmentation-model-with-two-scheme-learning-for-aerial-images/</guid><description/></item><item><title>Local Similarity Siamese Network for Urban Land Change Detection on Remote Sensing Images</title><link>https://jbnu.macs.or.kr/en/publication/0005-local-similarity-siamese-network-for-urban-land-change-detection-on-remote-sensing-images/</link><pubDate>Fri, 26 Mar 2021 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0005-local-similarity-siamese-network-for-urban-land-change-detection-on-remote-sensing-images/</guid><description/></item><item><title>Domain Adaptive Transfer Attack-based Segmentation Networks for Building Extraction from Aerial Images</title><link>https://jbnu.macs.or.kr/en/publication/0003-domain-adaptive-transfer-attack-based-segmentation-networks-for-building-extraction-from-aerial-images/</link><pubDate>Fri, 31 Jul 2020 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0003-domain-adaptive-transfer-attack-based-segmentation-networks-for-building-extraction-from-aerial-images/</guid><description/></item><item><title>Fully-automatic Deep Learning-based Analysis for Determination of the Invasiveness of Breast Cancer Cells in an Acoustic Trap</title><link>https://jbnu.macs.or.kr/en/publication/0002-fully-automatic-deep-learning-based-analysis-for-determination-of-the-invasiveness-of-breast-cancer-cells-in-an-acoustic-trap/</link><pubDate>Mon, 11 May 2020 00:00:00 +0000</pubDate><guid>https://jbnu.macs.or.kr/en/publication/0002-fully-automatic-deep-learning-based-analysis-for-determination-of-the-invasiveness-of-breast-cancer-cells-in-an-acoustic-trap/</guid><description/></item></channel></rss>